Spaces:
Running
Running
File size: 7,236 Bytes
a48faac | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 | """CLI for the biofuel screening tool."""
from dataclasses import dataclass, field
from typing import Optional, List, Dict, Tuple
@dataclass
class ScreeningConfig:
csv_path: str
mode: str # "pure_component" or "mixture"
target_cn: float
filters: Dict = field(default_factory=lambda: {
"bp": (60.0, 250.0),
"density": (720.0, None),
"lhv": (30.0, None),
"dynamic_viscosity": (2.0, None),
})
def _get_csv_path() -> str:
import os
while True:
path = input("Path to CSV file (must have a 'smiles' column): ").strip()
if not path:
print(" Path cannot be empty.")
continue
if not os.path.isfile(path):
print(f" File not found: {path}")
continue
return path
def _get_filter_bounds(label: str, default_lo, default_hi) -> Tuple:
lo_str = input(f" Min {label} [{default_lo}]: ").strip()
hi_str = input(f" Max {label} [{default_hi if default_hi is not None else 'none'}]: ").strip()
try:
lo = float(lo_str) if lo_str else default_lo
except ValueError:
lo = default_lo
try:
hi = float(hi_str) if hi_str else default_hi
except ValueError:
hi = default_hi
return (lo, hi)
def _get_filter_config() -> Dict:
print("\n Boiling Point (°C):")
bp = _get_filter_bounds("BP (°C)", 60.0, 250.0)
print(" Density (kg/m³):")
density_lo, _ = _get_filter_bounds("density", 720.0, None)
print(" LHV (MJ/kg):")
lhv_lo, _ = _get_filter_bounds("LHV", 30.0, None)
print(" Dynamic Viscosity (cSt):")
visc_lo, _ = _get_filter_bounds("viscosity", 2.0, None)
return {
"bp": bp,
"density": (density_lo, None),
"lhv": (lhv_lo, None),
"dynamic_viscosity": (visc_lo, None),
}
def _get_custom_base_fuel():
from rdkit import Chem
from rdkit.Chem import Descriptors
print("\n" + "=" * 70)
print("CUSTOM BASE FUEL CONFIGURATION")
print("=" * 70)
while True:
s = input("\nNumber of base fuel components (2-10): ").strip()
if not s.isdigit():
print(" Enter a positive integer.")
continue
n = int(s)
if n < 2:
print(" Must have at least 2 components.")
continue
if n > 10:
if input(" Warning: many components may slow predictions. Continue? (y/n): ").strip().lower() != "y":
continue
break
smiles_list, frac_list, total = [], [], 0.0
for i in range(n):
print(f"\nComponent {i + 1}/{n}:")
while True:
smi = input(" SMILES: ").strip()
if not smi:
print(" Cannot be empty.")
continue
mol = Chem.MolFromSmiles(smi)
if mol is None:
print(f" Invalid SMILES.")
continue
formula = Chem.rdMolDescriptors.CalcMolFormula(mol)
mw = Descriptors.MolWt(mol)
print(f" {formula} (MW: {mw:.2f} g/mol)")
break
while True:
if i == n - 1:
rem = 1.0 - total
print(f" Remaining fraction: {rem:.4f}")
if input(" Use remaining? (y/n): ").strip().lower() == "y":
frac = rem
break
try:
frac = float(input(f" Mole fraction (remaining: {1.0 - total:.4f}): ").strip())
except ValueError:
print(" Invalid number.")
continue
if frac <= 0 or total + frac > 1.0001:
print(" Invalid fraction.")
continue
break
smiles_list.append(smi)
frac_list.append(frac)
total += frac
if abs(total - 1.0) > 1e-6:
frac_list = [f / total for f in frac_list]
print("\n" + "=" * 70)
print("CUSTOM BASE FUEL SUMMARY")
print("=" * 70)
for j, (s, f) in enumerate(zip(smiles_list, frac_list), 1):
mol = Chem.MolFromSmiles(s)
formula = Chem.rdMolDescriptors.CalcMolFormula(mol)
print(f" {j}. {formula:<15} {s[:40]:<42} {f:.4f}")
print(f" {'TOTAL':<58} {sum(frac_list):.4f}")
print("=" * 70)
if input("\nUse this custom base fuel? (y/n): ").strip().lower() != "y":
print(" Cancelled — defaulting to fossil diesel.")
return None, None
return smiles_list, frac_list
def get_user_config() -> ScreeningConfig:
print("=" * 70)
print("BIOFUEL SCREENING TOOL")
print("=" * 70)
csv_path = _get_csv_path()
print("\nScreening Mode:")
print(" 1. Pure component screening")
print(" 2. Mixture / blend screening")
while True:
choice = input("Select mode (1 or 2): ").strip()
if choice in ("1", "2"):
break
print(" Please enter 1 or 2.")
mode = "pure_component" if choice == "1" else "mixture"
print(f" Mode: {'Pure Component' if mode == 'pure_component' else 'Mixture'} Screening")
while True:
try:
target_cn = float(input("\nTarget cetane number (CN): ").strip())
if target_cn <= 0:
print(" CN must be positive.")
continue
break
except ValueError:
print(" Invalid input.")
if mode == "pure_component":
print("\nProperty Constraint Filters:")
print(" Defaults: BP 60–250 °C | density ≥ 720 kg/m³ | LHV ≥ 30 MJ/kg | viscosity ≥ 2 cSt")
if input("Use defaults? (y/n) [y]: ").strip().lower() == "n":
filters = _get_filter_config()
else:
filters = {
"bp": (60.0, 250.0),
"density": (720.0, None),
"lhv": (30.0, None),
"dynamic_viscosity": (2.0, None),
}
print("\n" + "=" * 70)
print("CONFIGURATION SUMMARY")
print("=" * 70)
print(f" Mode: Pure Component Screening")
print(f" CSV: {csv_path}")
print(f" Target CN: {target_cn}")
for prop, (lo, hi) in filters.items():
bounds = f"{lo if lo is not None else '—'} – {hi if hi is not None else '—'}"
print(f" {prop}: {bounds}")
print("=" * 70)
return ScreeningConfig(csv_path=csv_path, mode=mode, target_cn=target_cn, filters=filters)
# --- mixture mode ---
# CSV must follow mixture_database.csv format:
# Name, fuel_1_smiles, fraction_fuel_1, fuel_2_smiles, fraction_fuel_2, ...
print("\n CSV must follow the mixture_database.csv format")
print(" (columns: Name, fuel_1_smiles, fraction_fuel_1, fuel_2_smiles, ...)")
print("\n" + "=" * 70)
print("CONFIGURATION SUMMARY")
print("=" * 70)
print(f" Mode: Mixture Screening")
print(f" CSV: {csv_path}")
print(f" Target CN: {target_cn}")
print("=" * 70)
return ScreeningConfig(csv_path=csv_path, mode=mode, target_cn=target_cn)
|